Publications tagged `MACHINE LEARNING`
Name | Followers | ||
---|---|---|---|
![]() |
PsyAI | We are passionate about Psychology and Machine Learning. The blog posts in this publication are the results of our spirited discussions that involve recurring patterns common across both the fields. | 2 |
![]() |
Show Me The Data | Optimistic data science for politics and public policy | 2 |
![]() |
Kuzok | Custom Deep Learning APIs | 2 |
![]() |
Agilisium | Agilisium is a LA based Big Data & Analytics Company with clear focus on helping organizations take the “Data-to-Insights-Leap”. With top-notch industry certifications and a thriving Partner Eco-system, Agilisium is inherently vested in our clients’ success | 2 |
![]() |
Into The Data-Verse | Uncovering the world through data | 2 |
![]() |
1D.works | Using AI tools to optimize business processes and enable the creative collaboration between humans and machines. | 2 |
![]() |
Datatron | Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment. | 2 |
![]() |
sniper.ai | An young Engineer(Yes. Not an CS grad!) loves to share the learning journey. Sniper.ai for beginners from the beginner. | 2 |
![]() |
DeepDreaming | Algorithms, techniques and ideas about the cutting edge deep learning world. | 2 |
![]() |
Mindpload | Exploring ideas in the combinatorial universe and Artificial Intelligence | 2 |
![]() |
NeuralCook | Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients. This application leverages NLP and Computer Vision to learn semantic knowledge using joint embeddings. | 2 |
![]() |
Building Trust and Adoption in Machine Learning in Healthcare | A Medium publication from @HarryCGoldberg on ML in healthcare | 2 |
![]() |
Explore ML | Blogs, projects and productionizing machine learing. | 2 |
![]() |
phullontech | The author, Vivek Phuloria, is a Data Science Consultant who seeks to demystify the seemingly complex technologies and explain them to the non-technical audience. | 2 |
![]() |
Data Sensitive | Data Science Guides, Tutorials & Blogs | 2 |